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The Evolution Mode and Driving Mechanisms of the Relationship between Construction Land Use and Permanent Population in Urban and Rural Contexts: Evidence from China’s Land Survey

Author

Listed:
  • Xiao Zhu

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Di Yao

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Hanyue Shi

    (Jiangsu Provincial Planning and Design Group, Nanjing 213004, China)

  • Kaichen Qu

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Yuxiao Tang

    (School of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou 215009, China)

  • Kaixu Zhao

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

Abstract

(1) Background : Achieving harmonious human–land relations is one of the key objectives of sustainable urban–rural development, and the degree of decoupling of permanent population levels from changes in construction land use is an important factor in related analyses. Due to the existence of huge urban–rural differences, rethinking China’s human–land relations from the perspective of integrating urban and rural areas is of great value for the advancement of high-quality urban–rural development. (2) Methods : By studying the lower reaches of the Yangtze and Yellow Rivers of China, and based on data from the second and third national land surveys of China, this paper analyzes the spatio-temporal evolution of urban and rural population, construction land use, and human–land relations from 2009 to 2019 using exploratory spatial data analysis (ESDA) and a decoupling model; in addition, this paper proposes a differentiated zoning management strategy and establishes a new framework that integrates evolutionary patterns, human–land relations, spatial effects, and policy design. (3) Results : The geographic distribution patterns of urban and rural population and construction land use remained stable over time, with high levels of spatial heterogeneity, agglomeration, and correlation. Changes in urban and rural population levels and construction land use are becoming increasingly diversified and complex, with both increases and reductions existing side by side. Based on a Boston Consulting Group matrix, the evolution patterns of urban and rural population and construction land use are divided into four types, referred to as star-cities, cow-cities, question-cities, and dog-cities. Over the time period examined in this paper, the spatial autocorrelation of urban land evolution patterns turned from negative to positive; however, that of rural land, as well as those of urban and rural population evolution patterns, were statistically insignificant. Urban human–land relations are coordinated, in general, and are mostly in a state of either weak decoupling or expansive coupling. In contrast, rural human–land relations are seriously imbalanced, and most of them are in a state of strong negative decoupling. Human–land relations are dominated by regressive changes in urban areas but remain unchanged in rural areas. Cold- and hot-spot cities are concentrated in clusters or in bands, forming a core-periphery structure. The formation and evolution of the decoupling relationship between construction land use and permanent population are the results of multiple factors, including urbanization, industrialization, globalization, and government demand and policy intervention. The interaction effects between different factors show bifactor enhancement and nonlinear enhancement, with complex driving mechanisms and large urban–rural differences. It should be highlighted that the influence intensity, operation mechanism, and changes in the trends for different factors vary greatly. Urbanization rate, gross domestic product, and government revenue are key factors that exert a strong direct driving force; international trade, foreign direct investment, and per capita GDP are important factors, while the remaining factors are auxiliary factors that remain heavily dependent on interaction effects. (4) Conclusions : To further transform human–land relations from imbalanced to coordinated, we divide the study area into four area types based on the concept of urban–rural community: urban and rural intensive policy areas, urban intensive policy areas, rural intensive policy areas, and urban and rural controlled policy areas. Furthermore, we put forward suggestions on the differentiated management of land use for the four types of policy areas.

Suggested Citation

  • Xiao Zhu & Di Yao & Hanyue Shi & Kaichen Qu & Yuxiao Tang & Kaixu Zhao, 2022. "The Evolution Mode and Driving Mechanisms of the Relationship between Construction Land Use and Permanent Population in Urban and Rural Contexts: Evidence from China’s Land Survey," Land, MDPI, vol. 11(10), pages 1-44, October.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1721-:d:933721
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    References listed on IDEAS

    as
    1. Danning Du, 2017. "The causal relationship between land urbanization quality and economic growth: evidence from capital cities in China," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2707-2723, November.
    2. Yuzhe Wu & Wendan Jiang & Jiaojiao Luo & Xiaoling Zhang & Martin Skitmore, 2019. "How Can Chinese Farmers' Property Income Be Improved? A Population–Land Coupling Urbanization Mechanism," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 27(2), pages 107-126, March.
    3. Mu Li & Yunyang Shi & Wenkai Duan & Aiqi Chen & Nan Wang & Jinmin Hao, 2019. "Spatiotemporal Decoupling of Population, Economy and Construction Land Changes in Hebei Province," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    4. Ruben N. Lubowski & Andrew J. Plantinga & Robert N. Stavins, 2008. "What Drives Land-Use Change in the United States? A National Analysis of Landowner Decisions," Land Economics, University of Wisconsin Press, vol. 84(4), pages 529-550.
    5. Fei Xie & Shuaibing Zhang & Kaixu Zhao & Fengmei Quan, 2022. "Evolution Mode, Influencing Factors, and Socioeconomic Value of Urban Industrial Land Management in China," Land, MDPI, vol. 11(9), pages 1-33, September.
    6. Xuan Luo & Zhaomin Tong & Yifan Xie & Rui An & Zhaochen Yang & Yanfang Liu, 2022. "Land Use Change under Population Migration and Its Implications for Human–Land Relationship," Land, MDPI, vol. 11(6), pages 1-22, June.
    7. Wen, Lanjiao & Chatalova, Lioudmila & Zhang, Anlu, 2022. "Can China's unified construction land market mitigate urban land shortage? Evidence from Deqing and Nanhai, Eastern coastal China," Land Use Policy, Elsevier, vol. 115(C).
    8. Yajun Ma & Ping Zhang & Kaixu Zhao & Yong Zhou & Sidong Zhao, 2022. "A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China," Land, MDPI, vol. 11(6), pages 1-31, June.
    9. Dong Ouyang & Xigang Zhu & Xingguang Liu & Renfei He & Qian Wan, 2021. "Spatial Differentiation and Driving Factor Analysis of Urban Construction Land Change in County-Level City of Guangxi, China," Land, MDPI, vol. 10(7), pages 1-21, June.
    10. Jian Cheng & Jiangmeng Zhao & Daolin Zhu & Hui Zhang, 2021. "Limits of Land Capitalization and Its Economic Effects: Evidence from China," Land, MDPI, vol. 10(12), pages 1-19, December.
    11. Chengcheng Wang & Yanfang Liu & Xuesong Kong & Jiwei Li, 2017. "Spatiotemporal Decoupling between Population and Construction Land in Urban and Rural Hubei Province," Sustainability, MDPI, vol. 9(7), pages 1-19, July.
    12. Bonoua Faye & Guoming Du & Ru Zhang, 2022. "Efficiency Analysis of Land Use and the Degree of Coupling Link between Population Growth and Global Built-Up Area in the Subregion of West Africa," Land, MDPI, vol. 11(6), pages 1-21, June.
    13. Chen, Xin & Jiang, Li & Zhang, Guoliang & Meng, Lijun & Pan, Zhihua & Lun, Fei & An, Pingli, 2021. "Green-depressing cropping system: A referential land use practice for fallow to ensure a harmonious human-land relationship in the farming-pastoral ecotone of northern China," Land Use Policy, Elsevier, vol. 100(C).
    14. Sidong Zhao & Yiran Yan & Jing Han, 2021. "Industrial Land Change in Chinese Silk Road Cities and Its Influence on Environments," Land, MDPI, vol. 10(8), pages 1-30, July.
    15. Manjiang Shi & Yaowen Xie & Qi Cao, 2016. "Spatiotemporal Changes in Rural Settlement Land and Rural Population in the Middle Basin of the Heihe River, China," Sustainability, MDPI, vol. 8(7), pages 1-17, June.
    16. Liejia Huang & Peng Yang & Boqing Zhang & Weiyan Hu, 2021. "Spatio-Temporal Coupling Characteristics and the Driving Mechanism of Population-Land-Industry Urbanization in the Yangtze River Economic Belt," Land, MDPI, vol. 10(4), pages 1-17, April.
    17. Weiping Zhang & Peiji Shi & Huali Tong, 2022. "Research on Construction Land Use Benefit and the Coupling Coordination Relationship Based on a Three-Dimensional Frame Model—A Case Study in the Lanzhou-Xining Urban Agglomeration," Land, MDPI, vol. 11(4), pages 1-16, March.
    18. Biao Zhang & Dian Shao & Zhonghu Zhang, 2022. "Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China," Sustainability, MDPI, vol. 14(10), pages 1-36, May.
    19. Christos Polykretis & Manolis G. Grillakis & Athanasios V. Argyriou & Nikos Papadopoulos & Dimitrios D. Alexakis, 2021. "Integrating Multivariate (GeoDetector) and Bivariate (IV) Statistics for Hybrid Landslide Susceptibility Modeling: A Case of the Vicinity of Pinios Artificial Lake, Ilia, Greece," Land, MDPI, vol. 10(9), pages 1-23, September.
    20. Yudan Zhang & Yuanqing Li & Yanan Chen & Shirao Liu & Qingyuan Yang, 2022. "Spatiotemporal Heterogeneity of Urban Land Expansion and Urban Population Growth under New Urbanization: A Case Study of Chongqing," IJERPH, MDPI, vol. 19(13), pages 1-25, June.
    21. Xueru Zhang & Jie Wang & Wei Song & Fengfei Wang & Xing Gao & Lei Liu & Kun Dong & Dazhi Yang, 2022. "Decoupling Analysis between Rural Population Change and Rural Construction Land Changes in China," Land, MDPI, vol. 11(2), pages 1-17, February.
    22. Yaolin Liu & Enxiang Cai & Ying Jing & Jie Gong & Zhengyu Wang, 2018. "Analyzing the Decoupling between Rural-to-Urban Migrants and Urban Land Expansion in Hubei Province, China," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    23. Antonio Tomao & Walter Mattioli & David Fanfani & Carlotta Ferrara & Giovanni Quaranta & Rosanna Salvia & Luca Salvati, 2021. "Economic Downturns and Land-Use Change: A Spatial Analysis of Urban Transformations in Rome (Italy) Using a Geographically Weighted Principal Component Analysis," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    24. Junheng Qi & Mingxing Hu & Bing Han & Jiemin Zheng & Hui Wang, 2022. "Decoupling Relationship between Industrial Land Expansion and Economic Development in China," Land, MDPI, vol. 11(8), pages 1-21, July.
    25. Sidong Zhao & Weiwei Li & Kaixu Zhao & Ping Zhang, 2021. "Change Characteristics and Multilevel Influencing Factors of Real Estate Inventory—Case Studies from 35 Key Cities in China," Land, MDPI, vol. 10(9), pages 1-29, September.
    26. Chen, Kunqiu & Long, Hualou & Liao, Liuwen & Tu, Shuangshuang & Li, Tingting, 2020. "Land use transitions and urban-rural integrated development: Theoretical framework and China’s evidence," Land Use Policy, Elsevier, vol. 92(C).
    27. Lin Li & Kaixu Zhao & Xinyu Wang & Sidong Zhao & Xingguang Liu & Weiwei Li, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi," Land, MDPI, vol. 11(3), pages 1-34, March.
    28. Kuang, Wenhui, 2020. "National urban land-use/cover change since the beginning of the 21st century and its policy implications in China," Land Use Policy, Elsevier, vol. 97(C).
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